Techmango Offerings

Data Science Solutions

Data science solutions are software applications, frameworks, and platforms designed to help organizations manage and analyze large amounts of data in order to derive valuable insights and make informed decisions. These solutions typically involve a combination of techniques from statistics, machine learning, and computer science to process, store, and analyze data.

Data Science Consulting Services

Our Data science services involve working with organizations to help them solve complex business problems using advanced analytics and machine learning techniques. Our Data scientists help organizations collect, clean, and analyze large and complex datasets to derive insights and make data-driven decisions.

  • Data Strategy Development

    Consultants help organizations develop a data strategy that aligns with their business goals and objectives. This includes identifying data sources, defining data governance policies, and setting up data infrastructure.

  • Data Analysis and Visualization

    Consultants use data analysis techniques to identify trends and patterns in data, and then create visualizations that help clients easily interpret and understand the data.

  • Machine Learning and Predictive Modeling

    Consultants use machine learning algorithms and predictive modeling techniques to develop models that can help organizations forecast future trends and make more accurate predictions.

  • Optimization and Process Improvement

    Consultants use data science techniques to identify areas of improvement in client processes and operations, and then develop recommendations for optimization and process improvement.

Techmango Offerings to Your


Data Analysis and Visualization

Analyzing and visualizing data to identify patterns, trends, and correlations that can inform business decisions.


Predictive Analytics

Building models to forecast future outcomes and make predictions based on historical data.


Machine Learning

Developing and implementing machine learning models to automate decision-making, identify anomalies, and make recommendations, We support the entire life cycle of ML OPs.


Data Mining

Using algorithms and statistical models to extract information from large and complex datasets.


AI Integration Consulting

Integrating AI technologies with existing business processes, such as customer service, supply chain, and operations.


AI Development Consulting

Developing and deploying AI algorithms and models, including natural language processing, image, computer vision, speech recognition, cognitive analytics, and chatbots.


Big Data Analytics

Processing and analyzing large volumes of data, often in real-time, to derive insights and inform business decisions.


Data Science Strategy and Consulting

Providing guidance on data science strategy, including how to best leverage data to achieve business goals.

Why Techmango

Leading Data Science Services Company

The data science consulting team at Tech Mango assists clients harness the power of data to gain insights, make better decisions, and drive business growth. Our expertise team consists of data scientists, machine learning engineers, data analysts, and other experts who are skilled in working with complex data sets and applying advanced analytics techniques to solve your day to day business problems.

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Our Data Science Services Process

Throughout the process, we work closely with the client to ensure that their business goals are being met and that they are fully satisfied with the results. Our goal is to provide high-quality data science services that help our clients make data-driven decisions and achieve their business objectives.

We are preferred partners for data science solutions by top branded companies across the globe.

Case Studies

Data Science Services Experience


case study

Pricing Strategy
Business is directly impacted by fluctuating operating costs and it can be challenging to understand the impact of operating costs on profitability because expenses and revenues are often tracked in separate systems.


case study

Power BI Dashboards for IT Services
Our customer is a large IT Services company. Objective is to resolve the Operational difficulties of project management users group in tracking and reporting operational metrics which are crucial in ensuring revenue.


case study

Visitor Analytics for Retail using IoT
Solution is about analyzing demographic using the IoT sensor data from offline stores. Customers were looking for a scalable data platform that can be reused and extended for multiple customers and brands.

Our Industry

Data science involves the use of tools and techniques to analyze and interpret data in order to extract valuable insights and make informed business decisions. The applications of data analytics are vast and can be used in virtually any industry, from healthcare to finance to retail.

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    Real Estate

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    IT Services

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    Health Care

Technical Stack

Data Science

The technical stack used for data science can vary greatly depending on the specific needs and requirements of the organization. Techmango expertise will help you in identifying the right tool for you need that can effectively handle large volumes of data, provide accurate insights, and drive business value.

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Still not sure what to do ?

Join together with us we will be your extended ARM, we bring lot of valuable expertise, objectivity, efficiency, cost-effectiveness, and competitive advantage for organizations looking to leverage their data for better decision-making and business success.

Talk with us

Let’s talk about how we can improve or develop your business.

Got a project in mind ?

Contact us for a free 30-minute consultation

    Facing trouble? then simply mail us on

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    Frequently Asked Questions

    How can we help you?

    What are some common data science use cases?

    Some common data science use cases include customer segmentation, churn prediction, fraud detection, demand forecasting, and recommendation systems.

    How do I identify a data science use case for my business?

    To identify a data science use case for your business, start by identifying a business problem or objective that could benefit from data-driven insights or predictions. Consider your data sources, the type of data you have, and what questions you want to answer or predictions you want to make based on that data.

    What is the difference between data science and data analytics?

    Data science is a broader field that includes data analytics as a subset. Data analytics involves analyzing data to gain insights and inform decisions, while data science encompasses a wider range of activities including data collection, processing, and modeling.

    How do I evaluate the success of a data science Projects?

    The success of a data science use case can be evaluated based on how well it solves the business problem or achieves the objective it was designed for. This can be measured using metrics such as accuracy, precision, recall, or business impact.

    What are the challenges of implementing a data science use case?

    Challenges of implementing a data science use case can include data quality issues, lack of data infrastructure, insufficient data science skills, and difficulty in integrating data science solutions into existing business processes.

    How can I ensure the success of a data science use case?

    To ensure the success of a data science use case, it is important to have a clear understanding of the business problem or objective, ensure the data used is accurate and relevant, have a strong data science team, and involve stakeholders in the process to ensure alignment with business goals. Ongoing monitoring and iteration of the solution can also help to improve its success over time.

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